| /*M/////////////////////////////////////////////////////////////////////////////////////// |
| // |
| // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
| // |
| // By downloading, copying, installing or using the software you agree to this license. |
| // If you do not agree to this license, do not download, install, |
| // copy or use the software. |
| // |
| // |
| // Intel License Agreement |
| // For Open Source Computer Vision Library |
| // |
| // Copyright (C) 2000, Intel Corporation, all rights reserved. |
| // Third party copyrights are property of their respective owners. |
| // |
| // Redistribution and use in source and binary forms, with or without modification, |
| // are permitted provided that the following conditions are met: |
| // |
| // * Redistribution's of source code must retain the above copyright notice, |
| // this list of conditions and the following disclaimer. |
| // |
| // * Redistribution's in binary form must reproduce the above copyright notice, |
| // this list of conditions and the following disclaimer in the documentation |
| // and/or other materials provided with the distribution. |
| // |
| // * The name of Intel Corporation may not be used to endorse or promote products |
| // derived from this software without specific prior written permission. |
| // |
| // This software is provided by the copyright holders and contributors "as is" and |
| // any express or implied warranties, including, but not limited to, the implied |
| // warranties of merchantability and fitness for a particular purpose are disclaimed. |
| // In no event shall the Intel Corporation or contributors be liable for any direct, |
| // indirect, incidental, special, exemplary, or consequential damages |
| // (including, but not limited to, procurement of substitute goods or services; |
| // loss of use, data, or profits; or business interruption) however caused |
| // and on any theory of liability, whether in contract, strict liability, |
| // or tort (including negligence or otherwise) arising in any way out of |
| // the use of this software, even if advised of the possibility of such damage. |
| // |
| //M*/ |
| #include "_cv.h" |
| |
| #if 0 |
| |
| IPCVAPI(CvStatus, icvCalcContrastHist8uC1R, ( uchar** img, int step, CvSize size, |
| CvHistogram* hist, int dont_clear )) |
| |
| IPCVAPI(CvStatus, icvCalcContrastHistMask8uC1R, ( uchar** img, int step, |
| uchar* mask, int mask_step, CvSize size, |
| CvHistogram* hist, int dont_clear )) |
| |
| /*F/////////////////////////////////////////////////////////////////////////////////////// |
| // Name: icvCalcContrastHist8uC1R |
| // Purpose: Calculating the histogram of contrast from one-channel images |
| // Context: |
| // Parameters: |
| // Returns: |
| // Notes: if dont_clear parameter is NULL then histogram clearing before |
| // calculating (all values sets to NULL) |
| //F*/ |
| static CvStatus CV_STDCALL |
| icvCalcContrastHist8uC1R( uchar** img, int step, CvSize size, |
| CvHistogram* hist, int dont_clear ) |
| { |
| int i, j, t, x = 0, y = 0; |
| int dims; |
| |
| if( !hist || !img ) |
| return CV_NULLPTR_ERR; |
| |
| dims = hist->c_dims; |
| if( dims != 1 ) |
| return CV_BADSIZE_ERR; |
| |
| if( hist->type != CV_HIST_ARRAY ) |
| return CV_BADFLAG_ERR; |
| |
| for( i = 0; i < dims; i++ ) |
| if( !img[i] ) |
| return CV_NULLPTR_ERR; |
| |
| for( i = 0; i < hist->c_dims; i++ ) |
| { |
| if( !hist->thresh[i] ) |
| return CV_NULLPTR_ERR; |
| assert( hist->chdims[i] ); |
| } |
| |
| j = hist->dims[0] * hist->mdims[0]; |
| |
| int *n = (int *)cvAlloc( (size_t)hist->dims[0] * sizeof( int )); |
| |
| if( hist->type == CV_HIST_ARRAY ) |
| { |
| if( !dont_clear ) |
| for( i = 0; i < j; i++ ) |
| { |
| hist->array[i] = 0; |
| n[i] = 0; |
| } |
| |
| switch (hist->c_dims) |
| { |
| case 1: |
| { |
| uchar *data0 = img[0]; |
| int *array = (int *) hist->array; |
| int *chdims = hist->chdims[0]; |
| |
| for( i = 0; i < j; i++ ) |
| array[i] = cvRound( hist->array[i] ); |
| |
| for( y = 0; y < size.height; y++, data0 += step ) |
| { |
| for( x = 0; x <= size.width - 1; x += 2 ) |
| { |
| int v1_r = MIN( data0[x], data0[x + 1] ); |
| int v2_r = MAX( data0[x], data0[x + 1] ); |
| |
| // calculate contrast for the right-left pair |
| for( t = v1_r; t < v2_r; t++ ) |
| { |
| int val0 = chdims[t + 128]; |
| |
| array[val0] += MIN( t - v1_r, v2_r - t ); |
| n[val0]++; |
| } |
| |
| if( y < size.height - 1 ) |
| { |
| int v1_d = MIN( data0[x], data0[x + step] ); |
| int v2_d = MAX( data0[x], data0[x + step] ); |
| |
| // calculate contrast for the top-down pair |
| for( t = v1_d; t < v2_d; t++ ) |
| { |
| int val0 = chdims[t + 128]; |
| |
| array[val0] += MIN( t - v1_d, v2_d - t ); |
| n[val0]++; |
| } |
| } |
| } |
| } |
| |
| // convert int to float |
| for( i = 0; i < j; i++ ) |
| { |
| if( n[i] != 0 ) |
| hist->array[i] = (float) array[i] / n[i]; |
| else |
| hist->array[i] = 0; |
| } |
| } |
| break; |
| default: |
| return CV_BADSIZE_ERR; |
| } |
| } |
| |
| cvFree( &n ); |
| return CV_NO_ERR; |
| } |
| |
| /*F/////////////////////////////////////////////////////////////////////////////////////// |
| // Name: icvCalcContrastHistMask8uC1R |
| // Purpose: Calculating the mask histogram of contrast from one-channel images |
| // Context: |
| // Parameters: |
| // Returns: |
| // Notes: if dont_clear parameter is NULL then histogram clearing before |
| // calculating (all values sets to NULL) |
| //F*/ |
| static CvStatus CV_STDCALL |
| icvCalcContrastHistMask8uC1R( uchar** img, int step, uchar* mask, int mask_step, |
| CvSize size, CvHistogram * hist, int dont_clear ) |
| { |
| int i, j, t, x = 0, y = 0; |
| int dims; |
| |
| |
| if( !hist || !img || !mask ) |
| return CV_NULLPTR_ERR; |
| |
| dims = hist->c_dims; |
| if( dims != 1 ) |
| return CV_BADSIZE_ERR; |
| |
| if( hist->type != CV_HIST_ARRAY ) |
| return CV_BADFLAG_ERR; |
| |
| for( i = 0; i < dims; i++ ) |
| if( !img[i] ) |
| return CV_NULLPTR_ERR; |
| |
| for( i = 0; i < hist->c_dims; i++ ) |
| { |
| if( !hist->thresh[i] ) |
| return CV_NULLPTR_ERR; |
| assert( hist->chdims[i] ); |
| } |
| |
| j = hist->dims[0] * hist->mdims[0]; |
| |
| int *n = (int *)cvAlloc( (size_t) hist->dims[0] * sizeof( int )); |
| |
| if( hist->type == CV_HIST_ARRAY ) |
| { |
| if( !dont_clear ) |
| for( i = 0; i < j; i++ ) |
| { |
| hist->array[i] = 0; |
| n[i] = 0; |
| } |
| |
| switch (hist->c_dims) |
| { |
| case 1: |
| { |
| uchar *data0 = img[0]; |
| uchar *maskp = mask; |
| int *array = (int *) hist->array; |
| int *chdims = hist->chdims[0]; |
| |
| for( i = 0; i < j; i++ ) |
| array[i] = cvRound( hist->array[i] ); |
| |
| for( y = 0; y < size.height; y++, data0 += step, maskp += mask_step ) |
| { |
| for( x = 0; x <= size.width - 2; x++ ) |
| { |
| if( maskp[x] ) |
| { |
| if( maskp[x + 1] ) |
| { |
| int v1_r = MIN( data0[x], data0[x + 1] ); |
| int v2_r = MAX( data0[x], data0[x + 1] ); |
| |
| |
| // calculate contrast for the right-left pair |
| for( t = v1_r; t < v2_r; t++ ) |
| { |
| int val0 = chdims[t + 128]; |
| |
| array[val0] += MIN( t - v1_r, v2_r - t ); |
| n[val0]++; |
| |
| } |
| } |
| |
| if( y < size.height - 1 ) |
| { |
| if( maskp[x + mask_step] ) |
| { |
| int v1_d = MIN( data0[x], data0[x + step] ); |
| int v2_d = MAX( data0[x], data0[x + step] ); |
| |
| // calculate contrast for the top-down pair |
| for( t = v1_d; t < v2_d; t++ ) |
| { |
| int val0 = chdims[t + 128]; |
| |
| array[val0] += MIN( t - v1_d, v2_d - t ); |
| n[val0]++; |
| |
| } |
| } |
| } |
| } |
| } |
| } |
| |
| // convert int to float |
| for( i = 0; i < j; i++ ) |
| { |
| if( n[i] != 0 ) |
| hist->array[i] = (float) array[i] / n[i]; |
| else |
| hist->array[i] = 0; |
| } |
| } |
| break; |
| default: |
| return CV_BADSIZE_ERR; |
| } |
| } |
| |
| cvFree( &n ); |
| return CV_NO_ERR; |
| } |
| |
| /* |
| CV_IMPL void cvCalcContrastHist( IplImage** img, CvHistogram* hist, int dont_clear ) |
| { |
| CV_FUNCNAME( "cvCalcContrastHist" ); |
| uchar* data[CV_HIST_MAX_DIM]; |
| int step = 0; |
| CvSize roi = {0,0}; |
| |
| __BEGIN__; |
| |
| {for( int i = 0; i < hist->c_dims; i++ ) |
| CV_CALL( CV_CHECK_IMAGE( img[i] ) );} |
| |
| {for( int i = 0; i < hist->c_dims; i++ ) |
| cvGetImageRawData( img[i], &data[i], &step, &roi );} |
| |
| if(img[0]->nChannels != 1) |
| CV_ERROR( IPL_BadNumChannels, "bad channels numbers" ); |
| |
| if(img[0]->depth != IPL_DEPTH_8U) |
| CV_ERROR( IPL_BadDepth, "bad image depth" ); |
| |
| switch(img[0]->depth) |
| { |
| case IPL_DEPTH_8U: |
| IPPI_CALL( icvCalcContrastHist8uC1R( data, step, roi, hist, dont_clear ) ); |
| break; |
| default: CV_ERROR( IPL_BadDepth, "bad image depth" ); |
| } |
| |
| __CLEANUP__; |
| __END__; |
| } |
| */ |
| |
| CV_IMPL void |
| cvCalcContrastHist( IplImage ** img, CvHistogram * hist, int dont_clear, IplImage * mask ) |
| { |
| CV_FUNCNAME( "cvCalcContrastHist" ); |
| uchar *data[CV_HIST_MAX_DIM]; |
| uchar *mask_data = 0; |
| int step = 0; |
| int mask_step = 0; |
| CvSize roi = { 0, 0 }; |
| |
| __BEGIN__; |
| |
| { |
| for( int i = 0; i < hist->c_dims; i++ ) |
| CV_CALL( CV_CHECK_IMAGE( img[i] )); |
| } |
| if( mask ) |
| { |
| CV_CALL( CV_CHECK_IMAGE( mask )); |
| if( mask->depth != IPL_DEPTH_8U ) |
| CV_ERROR( CV_BadDepth, "bad mask depth" ); |
| cvGetImageRawData( mask, &mask_data, &mask_step, 0 ); |
| } |
| |
| |
| { |
| for( int i = 0; i < hist->c_dims; i++ ) |
| cvGetImageRawData( img[i], &data[i], &step, &roi ); |
| } |
| |
| if( img[0]->nChannels != 1 ) |
| CV_ERROR( CV_BadNumChannels, "bad channels numbers" ); |
| |
| if( img[0]->depth != IPL_DEPTH_8U ) |
| CV_ERROR( CV_BadDepth, "bad image depth" ); |
| |
| |
| switch (img[0]->depth) |
| { |
| case IPL_DEPTH_8U: |
| if( !mask ) |
| { |
| IPPI_CALL( icvCalcContrastHist8uC1R( data, step, roi, hist, dont_clear )); |
| } |
| else |
| { |
| IPPI_CALL( icvCalcContrastHistMask8uC1R( data, step, mask_data, |
| mask_step, roi, hist, dont_clear )); |
| } |
| break; |
| default: |
| CV_ERROR( CV_BadDepth, "bad image depth" ); |
| } |
| |
| __CLEANUP__; |
| __END__; |
| } |
| |
| #endif |
